Generative AI Engineer

Leadenhall Search & Selection; United States; On-site; USD 110,000 - 200,000; Full time

Job summary

A leading recruitment agency seeks an AI Integration Engineer to shape and expand their AI strategy. You will lead integrations that drive business impact, owning the AI roadmap, and ensuring AI features meet product needs. The ideal candidate has over 6 years of AI/ML experience, strong programming skills, and familiarity with cloud platforms. Competitive compensation offered, with a range from $110,000 to $200,000 annually.

Qualifications

• 6+ years of experience in AI/ML development and integration.
• Proven hands-on experience with large language models.
• Strong programming skills in Python, Java, or similar languages.

Responsibilities

• Own the AI strategy and execution roadmap.
• Lead the integration of LLMs into platforms and tools.
• Design and deploy scalable AI-driven solutions.

Skills

Large language models (LLMs)

Prompt engineering

Cloud platforms (AWS, GCP, Azure)

Python programming

Problem-solving abilities

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

DevOps tools (Docker, GitHub, CI/CD)

Job description

Overview

We’re looking for an AI Integration Engineer to lead and expand our AI strategy across both customer-facing applications and internal tools. This role is focused on applied AI-building and deploying solutions rather than pure research. You will shape the AI roadmap, strengthen existing foundations, and create new integration points that drive real business impact.

Compensation

Base pay range: $110,000.00/yr - $200,000.00/yr

Notes: This range is provided by Leadenhall Search & Selection. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 6+ years of experience in AI/ML development and integration.
• Proven hands-on experience with large language models (LLMs), prompt engineering, and autonomous agent design.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.
• Strong programming skills in Python, Java, or similar languages relevant to AI/ML.
• Practical experience with fine-tuning, dataset management, and training custom models.
• Knowledge of NLP, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and generative AI methods.
• Familiarity with AI infrastructure setup, orchestration, monitoring, and optimization.
• Strong problem-solving abilities and adaptability in fast-paced environments.

Preferred

• Experience working with SaaS products.
• Familiarity with DevOps tools (Docker, GitHub, CI/CD).
• Excellent communication and collaboration skills.

Responsibilities

• Own the AI strategy and execution roadmap, driving adoption across products and workflows.
• Lead the integration of LLMs, RAG pipelines, and autonomous agents into platforms and tools.
• Design and deploy scalable AI-driven solutions for automation and business use cases.
• Build prompt engineering capabilities that enable non-technical stakeholders to leverage AI.
• Collaborate with cross-functional teams to ensure AI features align with product and customer needs.
• Optimize and monitor AI models and services in production for performance and reliability.
• Document AI systems, best practices, and learnings to support future growth.
• Stay current with AI trends and experiment with emerging tools and techniques.